| 标题 | pytorch torch 2.6.0 Segmentation fault |
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| 描述 | # Bug Description
Calling pad_packed_sequence on an empty PackedSequence leads to a segmentation fault.
# Reproduction Steps
Run the following code:
```
import torch
from torch.nn.utils.rnn import pad_packed_sequence, PackedSequence
empty_data = torch.randn(0, 5)
empty_batch_sizes = torch.tensor([], dtype=torch.int64)
empty_packed = PackedSequence(empty_data, empty_batch_sizes, None, None)
# Causes segmentation fault
pad_packed_sequence(empty_packed, batch_first=True)
```
# Observed Behavior
The program crashes with a segmentation fault, indicating an invalid memory access. |
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| 来源 | ⚠️ https://github.com/pytorch/pytorch/issues/149622 |
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| 用户 | Default436352 (UID 81891) |
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| 提交 | 2025-03-20 14時29分 (2 年前) |
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| 管理 | 2025-03-30 19時42分 (10 days later) |
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| 状态 | 已接受 |
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| VulDB条目 | 302047 [PyTorch 2.6.0 torch.nn.utils.rnn.pad_packed_sequence 内存损坏] |
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| 积分 | 20 |
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